Merge to ClickHouse Integration

How Datrise loads Merge into ClickHouse

Datrise syncs Merge's linked accounts, employees, candidates, contacts, invoices, and sync statuses into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

Merge: Unified API across HR, CRM, and accounting tools.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Merge entities map to ClickHouse

Merge entity	ClickHouse object	Notes
linked accounts	`merge_linked_accounts`	id PK · custom fields → JSON or Map columns
employees	`merge_employees`	id PK · linked to merge_linked_accounts
candidates	`merge_candidates`	id PK · linked to merge_linked_accounts
contacts	`merge_contacts`	id PK · linked to merge_linked_accounts

FAQ

How does Datrise handle Merge's custom fields in ClickHouse?

Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.

How does the Merge to ClickHouse sync stay up to date?

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

Related pipelines

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